Thermal design of microchannel heat sinks using a contour extraction based on topology optimization (CEBTO) method

微通道 传热 散热片 材料科学 机械 拓扑(电路) 熵(时间箭头) 热的 热力学 数学 物理 组合数学
作者
Jianhong Zhou,Mingxiang Lu,Qi Zhao,Dinghua Hu,Hanshi Qin,Xuemei Chen
出处
期刊:International Journal of Heat and Mass Transfer [Elsevier]
卷期号:189: 122703-122703 被引量:40
标识
DOI:10.1016/j.ijheatmasstransfer.2022.122703
摘要

The Topology Optimization (TO) has been proved to be an effective method for designing Microchannel Heat Sinks (MCHS). However, due to the relatively high computational cost and poor numerical stability, it is still challenging to design the thermo-fluid TO under high Reynolds number (Re). In this work, we propose a Contour Extraction Based on Topology Optimization (CEBTO) method to optimize the geometry of the fins based on a threshold velocity (Ut, proportional to the maximum velocity Umax) and improve the hydrothermal performance of MCHS under high Re. The 3D conjugate heat transfer numerical models are established to study the fluid flow and heat transfer characteristics of the MCHS generated by the conventional TO method and the CEBTO method. The results showed that due to the elimination of the area of stagnation zones under high Re, the CEBTO-generated heat sinks have a better interaction of fluid with the walls and more uniform velocity distribution compared to the TO-generated ones. However, the elimination of the stagnation zones area also leads to the decrease of channel width, which increases the friction loss in CEBTO-generated heat sinks. Nevertheless, the CEBTO-generated heat sinks have better overall performance compared to the TO designs owing to the smaller total entropy generation rate. For example, the CEBTO-I (Ut=28%Umax) exhibits the best overall performance with 10.1% increment of flow entropy generation rate and 7.1% reduction of thermal entropy generation rate as compared to those of TO-I (i.e., a TO-generated heat sink with alveoli-like shape), leading to the augment entropy generation number of 0.92 (Re = 1715). Finally, the CEBTO-I (Ut=28%Umax) was manufactured by micro milling technology and its hydrothermal performance was investigated experimentally to validate the accuracy of numerical simulation. The pressure drop and temperature of the CEBTO-generated heat sink in the experiment agree well with the numerical simulation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
sv发布了新的文献求助10
刚刚
LIU发布了新的文献求助10
刚刚
1秒前
1秒前
Owen应助xiuxiu_27采纳,获得10
2秒前
iW完成签到 ,获得积分10
2秒前
3秒前
woommoow完成签到,获得积分10
3秒前
4秒前
4秒前
200303am发布了新的文献求助10
4秒前
4秒前
4秒前
开天神秀完成签到,获得积分10
5秒前
566完成签到,获得积分10
5秒前
jackysuen完成签到,获得积分10
5秒前
MARS完成签到,获得积分10
6秒前
HEIKU应助鲤鱼凛采纳,获得10
7秒前
自然的依丝完成签到,获得积分20
7秒前
step_stone完成签到,获得积分10
8秒前
愉快彩虹发布了新的文献求助10
8秒前
cdu完成签到,获得积分10
9秒前
星辰轨迹完成签到,获得积分10
9秒前
MARS发布了新的文献求助10
9秒前
Jenny应助哈尼妞妞122采纳,获得10
9秒前
岁月轮回发布了新的文献求助10
10秒前
MADKAI发布了新的文献求助10
10秒前
高文强完成签到,获得积分10
10秒前
10秒前
习习应助坚定的诗双采纳,获得10
10秒前
10秒前
er完成签到,获得积分20
11秒前
科研通AI2S应助夯大力采纳,获得10
11秒前
11秒前
11秒前
Hover发布了新的文献求助10
11秒前
852应助无情的白桃采纳,获得10
12秒前
飘逸问薇完成签到 ,获得积分10
13秒前
SYLH应助机智的白猫采纳,获得10
14秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527699
求助须知:如何正确求助?哪些是违规求助? 3107752
关于积分的说明 9286499
捐赠科研通 2805513
什么是DOI,文献DOI怎么找? 1539954
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709759